CSCE 470 Project

For our CSCE 470 Project, we decided to tackle the yelp dataset challenge. We took the business.json file and extracted all the restaurants from the file and made it into a new json file that we use to get restaurant data from.

Our application takes a two places, and gives you the best rated restaurants that are the closest to your route and then gives you directions from your source, to the restaurant, and then to your destination.

For our project we used the gmaps API to calculate time traveled as well as to load maps and directions to restaurants. We used a python class called Pygeocoder which translates addresses into GPS coordinates which we use to interact with gmaps API.

In order to use the python code we developed to implement our recommender, we used a file type called CGI (Common-Gateway-Interface) to create dynamic html files that a web browser could read. In order to run these CGI files we downloaded and configured an Apache2 server to run the CGI files and hosted it locally for use.

In order to run on your own system you would have to download the apache server software and configure your server to run CGI files. Also, you would have to correctly place all the python code and other various files in the correct directories with the correct permissions. This information can all be found online.

The webpage html files that you can find in the webpage folder are the basic templates we used to make our CGI files.

For our python we used python 2.7.8.

If you have any questions feel free to email [email protected].